Biostatistic - In 1 day : Epidemiological Data Analysis Specialist Needed
Budget: €30 – €250 EUR
I require a professional in biostatistics to assist me with my epidemiological data project.
Key Tasks:
- Data Collection and Analysis: This involves compiling, cleaning, and structuring the epidemiological data for analysis. I'll need the freelancer to spot any irregularities in the data and address them accordingly.
- Statistical Modeling and Interpretation: After the data has been cleaned and processed, I will need the freelancer to help in drawing insights from the data, and have the ability to convert it into a format that can be easily understood, even by non-biostatisticians.
Scope of Work:
- The focus of the analysis will primarily be on Descriptive Analysis. The freelancer should be able to summarize the main characteristics of the data set, and reveal patterns or trends within the data.
- Any prior experience working with epidemiological data will be a huge plus.
Ideal Candidate:
- Proven experience in biostatistics, with a specific focus on epidemiological data.
- Proficient in statistical software and tools, such as R, Python, or SAS.
- Excellent communication skills to effectively interpret and present the results.
Key Tasks:
- Data Collection and Analysis: This involves compiling, cleaning, and structuring the epidemiological data for analysis. I'll need the freelancer to spot any irregularities in the data and address them accordingly.
- Statistical Modeling and Interpretation: After the data has been cleaned and processed, I will need the freelancer to help in drawing insights from the data, and have the ability to convert it into a format that can be easily understood, even by non-biostatisticians.
Scope of Work:
- The focus of the analysis will primarily be on Descriptive Analysis. The freelancer should be able to summarize the main characteristics of the data set, and reveal patterns or trends within the data.
- Any prior experience working with epidemiological data will be a huge plus.
Ideal Candidate:
- Proven experience in biostatistics, with a specific focus on epidemiological data.
- Proficient in statistical software and tools, such as R, Python, or SAS.
- Excellent communication skills to effectively interpret and present the results.